Learning multiple evolutionary pathways from cross-sectional data

Beerenwinkel, Niko; Rahnenführer, Jörg; Däumer, Martin; Hoffmann, Daniel; Kaiser, Rolf; Selbig, Joachim; Lengauer, Thomas

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Learning multiple evolutionary pathways from cross-sectional data

Beerenwinkel, N., Rahnenführer, J., Däumer, M., Hoffmann, D., Kaiser, R., Selbig, J., et al. (2005). Learning multiple evolutionary pathways from cross-sectional data. Journal of Computational Biology, 12, 584-598.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-26ED-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-26EE-6

Genre: Journal Article

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Creators:
Beerenwinkel, Niko¹, Author
Rahnenführer, Jörg¹, Author
Däumer, Martin, Author
Hoffmann, Daniel, Author
Kaiser, Rolf, Author
Selbig, Joachim, Author
Lengauer, Thomas¹, Author

Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046

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Language(s): eng - English

Dates: Modified: 2006-01-17Date issued: 2005

Publication Status: Issued

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Rev. Type: Peer

Identifiers: eDoc: 279066
Other: Local-ID: C125673F004B2D7B-02BEC84E01D10E34C1256F8D006219FA-Beerenwinkel2005a

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Title: Journal of Computational Biology

Source Genre: Journal

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Pages: - Volume / Issue: 12 Sequence Number: - Start / End Page: 584 - 598 Identifier: ISBN: 10665277